14+ Interesting Engineering Projects

This article briefs you about what are engineering projects, why doing engineering projects are so important, different kinds of engineering project domains, some of the top engineering projects for final year students done by Takeoff Projects along with the best engineering projects.

What are Engineering Projects?

The scale of an engineering project can range widely, from the design, production, distribution, and recycling of a paper clip to the planning, development, administration, and eventual decommissioning of a public transit system.

Engineering tasks don't include testing hypotheses; instead, they need creative problem solution. A specific engineering aim that can be fit into the following model statement should be included in every engineering design, software programme, or device project.

How to do Engineering Projects?

To develop interesting engineering projects, you may just need to employ the fundamental engineering design process. The language used and the number of phases may vary, but this method is typical of those used by professional engineers. These are considered to be the "important phases." The first thing you should do is to establish a project notebook where you can keep track of all the steps in your process and the outcomes of your design work. The design process is Iterative in design which means that the processes are frequently repeated until the designer is satisfied that the solution will satisfy the client's needs.

These are the phases in the fundamental engineering design process.

• Define a requirement and articulate it as a goal. 

• Establish design criteria and restrictions.

• The best design should be built into a prototype

• Build a prototype of the best design, assess it against key design criteria, then test it to determine how well it fits the demand.

• Consider alternative designs and develop a test strategy.

• Communicate the design, make design changes based on test results, and retest;

• Create a compliance checklist and your abstracts.

The top domains for doing the final year engineering projects are listed below: 

• Machine Learning

• Artificial Intelligence

• Cloud Computing

• Android

• Internet of Things (IoT)

• Python 

• Robotics

• Data Science and Analytics

• Electrical

• Electronics

• Embedded Systems

Also read : BCA Final Year Project Ideas

Top Engineering Projects for Final Year Students

This section gives the top engineering projects for final year students based on the brief descriptions and explanations about the few interesting engineering projects done by the Takeoff Projects.

Towards Real-Time Eye Blink Detection in the Wild: Dataset, Theory and Practices

Deception detection, driving fatigue monitoring, and face anti-spoofing are just a few of the many uses for precise and immediate eyeblink detection. Though previous attempts have been made, the majority of current work are focused on resolving the eyeblink detection problem in constrained indoor settings with somewhat homogeneous subject and environment setup. In contrast, it is getting harder and harder to find eyeblinks in the wild in terms of practical applications.

Click here for the detailed information of the project.

Modelling e-waste Management Data in Smart Cities

Since garbage cans are manually operated under the existing system, routine garbage can inspections involve human labour. The proposed method entirely automates the process, though. This system makes use of permanent ultrasonic sensors positioned over the trash cans. When the bins are full with trash, the distance between the trash and the sensors will be reduced. Each time, the level will be checked and the distance will be calculated. This real-time information is sent to the controller. The controller will process the data before sending it to the cloud server through GPRS. The user can view the information on this website and base plans on it, such as which bins need cleaning and what will be done to achieve that. 

Click here for the detailed information of project.

IOT Based Wireless Sensor Network for Air Pollution Monitoring

The dust sensors and MQ2 sensors used in this system can detect particulate matter and identify smoke or other dangerous gases in the environment, respectively. It also has a DHT11 sensor, which measures the humidity and temperature of the surrounding air. The Raspberry Pi has the ability to collect and process sensor data, which is then shown on the LCD screen and via an IOT so that anyone, anywhere may watch or monitor the parameters.

Click here for the detailed information of the project.

Identification of currency with artificial intelligence techniques

In order to categorise or ascertain whether something is genuine or not, the SVM (support vector machine) technique is used in the study article. MATLAB is used as a toolkit for image processing. Image processing is a method for enhancing an image's visual information for computer or hardware perception. A CNN network is also used to classify the denomination of the note, and its trained network has an average accuracy of about 90% with minimal error.

Click here for the detailed information of the project.

Application Research of Clustering Algorithm Based on K-Means in Data Mining

The study looks at attributes and evaluates how well clustering works in data mining. Additionally, it uses data mining's broad importance and methodologies. We also talked about the fundamental concepts and procedures for developing a k-tools-based clustering algorithm. Finally, utilising a clustering method based on K-paths and a data mining platform based on the SPSS model, the findings present information on teacher satisfaction.

Click here for the detailed information of the project.

Traffic Incident Detection Method Based on Factor Analysis and Weighted Random Forest

The development of a traffic event detection method based on factor analysis and weighted random forests (FA-WRF). The component analysis (FA) method is used to minimise the initial incident variables' dimension. Area under the receiver operating characteristic curve, false alarm rate, categorization rate, and detection rate are typical measures used to evaluate detection performance (AUC). The incident data, which makes up 6.5% of the freeway's position detector data, reveals a customary imbalance.

Click here for the detailed information of the project.

A Coordinated Control Of Hybrid Ac/dc Microgrids With Pv-wind-battery Under Variable Generation And Load Conditions

This study recommends the coordinated control approach for a micro-grid with hybrid energy sources and ac/dc loads. In order to deliver high quality voltages and guarantee smooth power transfer between the dc and ac subgrids, the model predictive power and voltage control (MPPVC) approach is created for the ac/dc interlinking converter. The presentation of a distributed converters local-level coordinated control technique follows.

Click here for the detailed information of the project.

Modeling Of An Intelligent Battery Controller For Standalone Solar-wind Hybrid Distributed Generation System

In this project, a stand-alone hybrid solar and wind energy system is used. The reliability of the power system is decreased when only one renewable energy source is employed to provide electricity since renewable energy sources are intermittent. The storage system needed to be extraordinarily large in order to handle the problem, which increased system costs overall and considerably reduced flexibility.

Click here for the detailed information of the project.

DC Bus Voltage Control of Wind Power Inverter Based on First-Order LADRC

The improved linear active disturbance rejection controller controls the voltage outer loop (LADRC). First, the mathematical model of the wind power grid-connected inverter is explored. Based on this study, a reduced-order linear extended state observer-based linear active disturbance rejection control is developed. This decreases the phase lag of the observer and improves the precision of the system's disturbance observation.

Click here for the detailed information of the project.

Active and Reactive Power Control for Dual Excited Synchronous Generator in Wind Applications

The project employs a dual excited synchronous generator (DESG), a cutting-edge alternative generating technology that is suitable for wind energy conversion systems. A completely new control approach was presented for the DESG wind turbine system. With the help of this controller design, the DESG may operate as a constant-speed constant-frequency (CSCF) generation system with the benefit of variable reactive power, or as a constant-speed constant-frequency (VSCF) generation system with the benefits of easy control and fewer copper losses.

Click here for the detailed information of the project.

An Improved Energy Efficient Clustering Protocol to Prolong the Lifetime of the WSN-Based IOT

In order to extend the lifespan of WSN-based IoT devices, the research suggested an improved energy-efficient clustering protocol (IEECP). The proposed IEECP is divided into three sections. For the overlapping balanced clusters, the ideal number of clusters is first established. Then, balanced-static clusters are built using a modified fuzzy C-means algorithm and a system to control and balance the energy consumption of the sensor nodes. Cluster heads (CHs) are picked at optimum locations by rotating the CH function among cluster members using a novel CH selection-rotation algorithm that incorporates a back-off time mechanism for CH selection and a rotation mechanism for CH rotation.

Click here for the detailed information of the project.

A Model-Driven Deep Dehazing Approach by Learning Deep Priors

Cloudy weather often causes photos to be white-masked and lose important details. The removal of haze is a key task and a prerequisite for many other optical tasks. Recent years have seen a lot of attention focused on the poorly posed inverse problem of single picture dehazing. The present single dehazing strategies may be described using the traditional prior-based approaches and the data-driven deep learning methods, which investigate haze-related image priors and deep architectures, respectively. Computer vision algorithms are used to remove the hazy areas from the photographs, and the recommended approach for single image dehazing produces encouraging results.

Click here for the detailed information of the project.

Also read : Project Ideas for BTech CSE

Top Engineering Projects for Final Year Students

The best engineering projects done by us for the final year students are listed below. You can refer to these final year engineering projects so that you can get some clarity in doing your final year engineering projects or mini engineering projects.

• Towards Real-Time Eye blink Detection in the Wild: Dataset, Theory and Practices

• An intelligent baby monitoring system based on Raspberry PI, IoT sensors and convolutional neural network

• IOT Based Wireless Sensor Network for Air Pollution Monitoring

• Development of congestion level based dynamic traffic management system using IoT

• Design and Analysis of IoT-Based Intelligent Robot for Real-Time Monitoring and Control

• IoT Based on-the-fly Visual Defect Detection in Railway Tracks

• Raspberry Pi Based Wearable Reader For Visually Impaired People with Haptic Feedback

• Smart Door Using Biometric NFC Band and OTP Based Methods

• Low power Smart Vehicle Tracking, Monitoring, Collision avoidance and Antitheft System

• Facial and Voice Recognition Based security and Safety System in Car

• Medical Remote Monitoring of Multiple Physiological Parameters Based on Wireless Embedded Internet

• Machine Learning-based Surveillance System for Detection of Bike Riders without Helmets and Triple Rides

• Oil Spills Detection on Sea Surface by using Sentinel–1 SAR Images

• Modelling e-waste Management Data in Smart Cities

• Home Automation Using Google Voice Assistant

• Real-time Wireless Embedded Electronics for Soldier Security

• A wearable system for respiratory and pace monitoring in running activities: a feasibility study

• Smart Farming System using IoT for Efficient Crop Growth

• Arduino Based traffic congestion control with automatic signal clearance for emergency vehicles and Stolen Vehicle Detection

• Infusion Liquid Level Detection Tool Using IR Sensors and Photodiode Based on Microcontroller

• Multi-Functional Blind Stick for Visually Impaired People

• A Comparative Study of LoRa and IEEE 802.15.4-based IoT Deployments inside School Buildings

• IoT-Enabled Shipping Container with Environmental Monitoring and Location Tracking

• IoT Based Real-Time Remote Patient Monitoring System

• Hardware Root Of Trust for IoT Security In Smart Home Systems

• Health Care System for Home Quarantine People

• Attendance System Using Face Recognition Using Raspberry Pi

• Detect People in a Frame Using Raspberry Pi with Open CV

• Unlocking Home Automation System by Face Detection Using ESP32 camera

• Advanced vehicle Monitoring System and Automatic Vehicle Dim and Brightness Controlled using NRF24L01 Module

• Ultrawide Band Radar System For Through Wall Human Vital Signs Detection

• Real Time Smart Attendance Monitoring System With Image Processing And Thermal Scanning

• Notice Board and LCD Display Using IOT

• Automatic Page Flipper with Voice Recognition

• A Robust Security Framework for Cloud-Based Logistics Services

• Design and Implementation of IoT System for Aeroponic Chamber Temperature Monitoring

• Intrusion Detection System Using Regulated Patrolling Robots for Apartments

• Highly Compact Device Modelling and Notification System for Outdoor Patient Monitoring System

• Smart Parking Solutions for On-Street and Off-Street Parking

• Model Based Maximum Power Point Tracking Algorithm with Constant Power Generation Capability and Fast DC Link Dynamics for Two Stage PV Systems 

• A Grid Frequency Support Control Strategy of the Three Phase Cascaded H Bridge Based Photovoltaic Generation System 

• Three Phase Single Stage Photovoltaic System with Synchronverter Control: Power System Simulation Studies 

• Enhanced Control and Power Management For A Renewable Energy-Based Water Pumping System 

• Three Level T Type Quasi Z Source PV Grid Tied Inverter with Active Power Filter Functionality under Distorted Grid Voltage 

• Solar Power Generation System with Power Smoothing Function 

• Multi Functional PV Inverter with Low Voltage Ride Through and Constant Power Output 

• A Novel and High Gain Switched Capacitor and Switched Inductor Based DC DC Boost Converter with Low Input Current Ripple and Mitigated Voltage Stresses 

• A Novel VFVDC Optimized Full Bridge Inverter Control Strategy for Independent Solar Power Systems 

• A New Single-Source Nine-Level Quadruple Boost Inverter (NQBI) for PV Application 

• Multiphase Interleaved Converter Based on Cascaded Non-Inverting Buck-Boost Converter 

• A Unified Active Damping for Grid and Converter Current Feedback in Active Front End Converters 

• High Efficiency and Voltage Conversion Ratio Bidirectional Isolated DC-DC Converter for Energy Storage System 

• A Generalized High Gain Multilevel Inverter for Small Scale Solar Photovoltaic Applications 

• Power Quality Enhancement of the Distribution Network by Multilevel STATCOM-Compensated Based on Improved One-Cycle Controller 

• Modeling and Control of Single-Stage Quadratic-Boost Split Source Inverters 

• A Three-Level Single Stage A-Source Inverter with the Ability to Generate Active Voltage Vector during Shoot-Through State 

• Soft Switching Multiphase Interleaved Boost Converter with High Voltage Gain for EV Applications 

• A New Multi-Output DC-DC Converter for Electric Vehicle Application 

• Torque Ripple Reduction for BLDC Permanent Magnet Motor Drive Using DC-Link Voltage and Current Modulation 

• Sliding Mode Predictive Current Control of Permanent Magnet Synchronous Motor with Cascaded Variable Rate Sliding Mode Speed Controller 

• Sensorless Control Strategy of Permanent Magnet Synchronous Motor Based on Fuzzy Sliding Mode Observer 

• Design and Cascade PI Controller-Based Robust Model Reference Adaptive Control of DC-DC Boost Converter 

• Implementation of Exact Linearization Technique for Modeling and Control of DC DC Converters in Rural PV Microgrid Application 

• Control and Management of Railway System Connected to Microgrid Stations

• Low Power 4-Bit Arithmetic Logic Unit using Full-swing GDI Technique

• Power-Efficient Approximate SAD Architecture with LOA Imprecise Adders

• Performance Analysis of Wallace Tree Multiplier with Kogge Stone Adder using 15-4 Compressor

• A Low-Power Yet High-Speed Configurable Adder for Approximate Computing

• Image and Video Processing Applications using Xilinx System Generator

• Design and Simulation of CRC Encoder and Decoder using VerilogHDL

• Efficient FIR Filter Design using Booth Multiplier for VLSI Applications

• Chip Design for Turbo Encoder Module for In-Vehicle System

• Binary to Gray Code Converter Implementation using QCA

• Efficient Implementations of 4-Bit Burst Error Correction for Memories

• Machine Learning Based Power Efficient Approximate 4:2 Compressors for Imprecise Multipliers

• Area and Power Efficient VLSI Architecture of Distributed Arithmetic Based LMS Adaptive Filter

• Design of High Speed Carry Select Adder using Brent Kung Adder

• Low Power 1-Bit Full Adder using Full-Swing Gate Diffusion Input Technique

• Energy-Efficient Approximate Multiplier Design using Bit Significance-Driven Logic Compression

• A Cost-Efficient QCA XOR-XNOR Topology for Nanotechnology Applications

• Improved High Speed or Low Complexity Memristor-based Content Addressable Memory (MCAM) Cell

• Binary Coded Decimal Seven Segment Circuit Designing using Quantum dot Cellular Automata

• Area Efficient Multilayer Arithmetic Logic Unit Implementation in Quantum-dot Cellular Automata

• Optimal Architecture of Floating-Point Arithmetic for Neural Network Training Processors

• Fixed-Posit: A Floating-Point Representation for Error-Resilient Applications

• Approximate Pruned and Truncated Haar Discrete Wavelet Transform VLSI Hardware for Energy-Efficient ECG Signal Processing

• Analysis of High Speed Hybrid Full Adder

• A Low-Power and High-Accuracy Approximate Multiplier With Reconfigurable Truncation

• Accounting for Memristor I-V Non-linearity in Low Power Memristive Amplifiers

• A Low Power 15T SRAM Cell Design Based on FinFET, CNTFET and GNRFET under 20nm Processing Technology

• Implementation of FPGA signed multiplier using different adders

• Electricity Price Forecasting for Cloud Computing Using an Enhanced Machine Learning Model  

• Analysis for Disease Gene Association Using Machine Learning  

• A Novel Ensemble Learning Paradigm for Medical Diagnosis With Imbalanced Data  

• Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning  

• Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning  

• A Comparative Approach to Predictive Analytics with Machine Learning for Fraud Detection of Realtime Financial Data  

• CLEMENT: Machine Learning Methods for Malware Recognition Based on Semantic Behaviours  

• An Experimental Study for Software Quality Prediction with Machine Learning Methods  

• Hazard Identification and Detection using Machine Learning Approach  

• Predicting Flight Delays with Error Calculation using Machine Learned Classifiers  

• Machine Learning based Rainfall Prediction  

• Advanced Prediction of Performance of A Student in An University using Machine Learning Techniques  

• Novel XGBoost Tuned Machine Learning Model for Software Bug Prediction  

• COVID-19 Future Forecasting Using Supervised Machine Learning Models  

• Track&go A Location Prediction Web Application  

• Towards Real-Time Eye blink Detection in the Wild: Dataset, Theory and Practices 

• Driver State Analysis Using AI to Avoid Accidents 

• Fire Detection and Prevention System Using Machine Learning 

• Constrained Voting Extreme Learning Machine and its Application  

• A Study of Machine Learning Techniques on Clustering, Classification and Regression  

• Aspect Based Sentiment Analysis on Amazon Ear Phone Sales  

• A Decision Tree Based Recommendation System for Tourists  

• Smart Health Prediction Using Machine Learning  

• Detection of Distributed Denial of Service Attacks in SDN using Machine learning techniques

• Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques  

• An Enhanced Ensemble Diagnosis of Cervical Cancer A Pursuit of Machine Intelligence Towards Sustainable Health  

Conclusion

This blog article gives you some basic meaning of engineering projects. Then the reason behind their significance is also stressed in “Why to do engineering projects”. Then it gives brief explanations about some of the top engineering projects for final year students. Then the best engineering projects done by Takeoff Projects are provided at the end.

Why Takeoff Projects? How can it help with the Engineering Projects?